Hooman Shayani
According to our database1,
Hooman Shayani
authored at least 21 papers
between 2007 and 2024.
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Bibliography
2024
Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings.
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
2013
A practical investigation into achieving bio-plausibility in evo-devo neural microcircuits feasible in an FPGA.
PhD thesis, 2013
2010
Parallel Comput., 2010
Proceedings of the Evolvable Systems: From Biology to Hardware, 2010
2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A Multi-cellular Developmental Representation for Evolution of Adaptive Spiking Neural Microcircuits in an FPGA.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2009
2008
A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2008
An FPGA-based model suitable for evolution and development of spiking neural networks.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Hardware Implementation of a Bio-plausible Neuron Model for Evolution and Growth of Spiking Neural Networks on FPGA.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2008
2007
A more bio-plausible approach to the evolutionary inference of finite state machines.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007